vivo I2304
Geekbench AI Score
868
Single Precision Score
787
Half Precision Score
1509
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Gnaneshwar007 |
| Upload Date | May 11 2025 08:48 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo I2304 |
| Model ID | vivo I2304 |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 7.12 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
822
152.8 IPS |
|
|
Image Classification (HP)
|
100% |
458
85.3 IPS |
|
|
Image Classification (Q)
|
100% |
1219
226.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
506
8.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
471
7.64 IPS |
|
|
Image Segmentation (Q)
|
98% |
1446
23.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1768
2.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
1462
1.71 IPS |
|
|
Pose Estimation (Q)
|
84% |
3755
4.45 IPS |
|
|
Object Detection (SP)
|
98% |
644
51.2 IPS |
|
|
Object Detection (HP)
|
98% |
558
44.4 IPS |
|
|
Object Detection (Q)
|
83% |
1159
93.6 IPS |
|
|
Face Detection (SP)
|
100% |
1021
12.1 IPS |
|
|
Face Detection (HP)
|
100% |
1024
12.2 IPS |
|
|
Face Detection (Q)
|
95% |
2121
25.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
1148
8.87 IPS |
|
|
Depth Estimation (HP)
|
99% |
1125
8.69 IPS |
|
|
Depth Estimation (Q)
|
64% |
2801
25.7 IPS |
|
|
Style Transfer (SP)
|
89% |
2892
3.75 IPS |
|
|
Style Transfer (HP)
|
89% |
2869
3.72 IPS |
|
|
Style Transfer (Q)
|
98% |
5744
7.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
646
23.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
760
28.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1455
53.9 IPS |
|
|
Text Classification (SP)
|
100% |
336
447.9 IPS |
|
|
Text Classification (HP)
|
99% |
341
454.7 IPS |
|
|
Text Classification (Q)
|
88% |
576
777.2 IPS |
|
|
Machine Translation (SP)
|
100% |
704
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
608
10.5 IPS |
|
|
Machine Translation (Q)
|
50% |
280
9.96 IPS |
